JOURNAL ARTICLE

Potholes Detection Based on SVM in the Pavement Distress Image

Abstract

There are much more researches on the recognition of the cracks on the distress pavement, but the research on the potholes is relatively less. In this paper, Texture measure based on the histogram is extracted as the features of the image region, and the non-linear support vector machine is built up to identify whether a target region is a pothole. Based on this, an algorithm for recognizing the potholes of the pavement is proposed. The experimental results show that the algorithm can achieve a high recognition rate.

Keywords:
Pothole (geology) Support vector machine Histogram Artificial intelligence Computer science Pattern recognition (psychology) Image (mathematics) Texture (cosmology) Measure (data warehouse) Computer vision Data mining Geology

Metrics

124
Cited By
4.84
FWCI (Field Weighted Citation Impact)
6
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Infrastructure Maintenance and Monitoring
Physical Sciences →  Engineering →  Civil and Structural Engineering
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
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